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| Reasonably carry out mean value comparison： analysis of variance of the quantitative data of repeated measurement design |
DOI：10.11886/scjsws20230201002 |
| English keywords:Fixed effect Random effect Random coefficient Repeated measurement Mixed model |
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| The purpose of this article was to introduce 5 basic concepts， calculation methods， a clinical trial example and its SAS implementation related to the mixed model. The basic concepts include fixed effects， random effects， random coefficients， mixed models， and multilevel models. The calculation methods involved the classical calculation method and the Bayesian calculation method of the mixed model. An example of the clinical trial involved the effect of three drugs on the ability to breathe in people with asthma. This paper gave the whole process of using SAS software to implement the quantitative data in the example， including constructing 6 repeated measurement design quantitative data mixed models based on the mixed procedure and the bglimm procedure. The output results were explained， and all the mixed models constructed were compared based on the evaluation statistics of the model fitting effect， and the optimal mixed model suitable for the data in the paper was obtained. |
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